Course overview and introduction
The EU Artificial Intelligence Act (AI Act) introduces the EU’s first comprehensive, risk‑based legal framework for artificial intelligence. This online course explains the Act’s structure, the obligations it places on providers, deployers and users of AI, and practical steps organisations must take to achieve compliance. Through short lessons, scenario‑based exercises and downloadable templates you will learn how to identify high‑risk systems, implement governance and documentation, and design compliance pathways that align with the Act and related EU rules (e.g., data protection).
This 6‑hour online e‑learning course is designed to be practical and job‑relevant: bite‑sized modules cover legal concepts, technical controls, organisational governance, and real‑world examples so learners can apply the principles immediately within their organisations.
Aims of the course
- Educate: Provide a clear, practical understanding of the EU AI Act, its scope and key obligations.
- Enable: Give learners the tools and templates needed to assess systems, identify risk categories and start a compliance pathway.
- Empower: Equip participants to lead or contribute to AI governance, compliance and procurement decisions within their teams.
- Embed: Promote sustainable, organisation‑wide practices for responsible AI through governance, documentation and continuous monitoring.
Who is the course for?
- Marketing Professionals, Product owners, programme managers and technology leads deploying AI systems in the EU or to EU users.
- Legal, compliance and privacy professionals who need a practical understanding of AI Act obligations.
- Data scientists, ML engineers and software developers responsible for building, testing and documenting AI systems.
- Procurement, vendor management and third‑party risk teams assessing supplier compliance.
- Risk managers, auditors and security professionals who oversee controls for AI systems.
- Marketing, HR and operations staff who use or procure AI tools and need to understand organisational responsibilities.
Benefits of attending the course
- Practical compliance skills: Learn how to identify high‑risk AI, run basic conformity checks, and prepare required documentation (technical documentation, logs, instructions for use).
- Role‑specific takeaways: Actionable checklists and templates tailored to legal, technical and product roles.
- Immediate application: Short exercises and worked examples to use on your next AI sprint or procurement decision.
- Risk‑focused approach: Understand prohibited practices, transparency obligations and human oversight requirements so you can prioritise remediation actions.
- Resource kit: Downloadable policy checklist, conformity assessment starter, model inventory template, transparency and user‑notice examples, and a sample audit agenda.
- Certificate of completion: Digital certificate to add to your professional profiles on successful completion of the final assessment.
Certifications
Participants who complete the course and pass the final multiple‑choice assessment receive a Certificate of Completion. The certificate documents the number of learning hours and the core competencies covered (AI Act fundamentals, risk classification, documentation & governance). Organisations can use the certificate as evidence of staff training in internal audits or supplier reviews.
Indicative content & Intended learning objectives (ILOs)
The course is organised into modular lessons. Each lesson combines short videos, reading, interactive knowledge checks and scenario exercises. Downloadable templates are provided so learners can put the learning into practice immediately.
Module structure (8-10 hours total based on your speed)
|
Module |
What we cover |
Key learning outcomes |
Interactive session |
|
Module 1 — Introduction (45 mins) |
High‑level overview of the EU AI Act, risk‑based approach, key definitions (AI system, provider, deployer, user), and how the Act interacts with GDPR and other EU law. Course navigation and how to use the templates. |
Understand the Act’s scope and structure, identify the roles and responsibilities in the AI value chain, and know how to use the course resources. |
N/A |
|
Module 2 — Prohibited AI practices & transparency obligations (45 mins) |
Detailed review of practices the Act prohibits (unacceptable risks) and transparency requirements (AI‑generated content labelling, user notices, information obligations). Intersection with ethical and policy considerations. |
Recognise prohibited uses and required transparency measures; be able to draft a compliant user notice and synthetic content label. |
N/A |
|
Module 3 — High‑risk AI systems (75 mins) |
How to identify high‑risk systems (Annex listings and classification rules), obligations that attach to high‑risk systems (technical documentation, risk management systems, data governance, human oversight), and examples from sectors (HR, finance, health). |
Run a high‑level high‑risk classification, list required risk‑management artefacts and mitigation measures, and propose initial remediation steps. |
N/A |
|
Module 4 — Low/Limited‑risk AI & ISO 42001 alignment (60 mins) |
Differentiating low/limited‑risk systems from high‑risk; recommended good‑practice controls; introduction to ISO 42001 (AI management systems) and how it complements the AI Act. Practical steps to scale governance for lower‑risk systems. |
Distinguish low/limited‑risk controls, explain how ISO 42001 provides a management framework, and prepare a proportional governance checklist. |
N/A |
|
Module 5 — Conformity (self‑) assessment & documentation (60 mins) |
Conformity assessment pathways for high‑risk systems (including self‑assessment vs third‑party routes), preparing technical documentation, logging, and evidence for audits and market surveillance. Practical tips for small and medium teams. |
Understand conformity options, prepare a conformity documentation plan and a basic self‑assessment workflow. |
N/A |
|
Module 6 — General‑purpose AI (GPAI) models (45 mins) |
Unique considerations for general‑purpose and foundation models (scope, transparency, emergent behaviour, APIs, model‑carding, and how the Act addresses GPAI). Risk mitigation strategies and vendor controls. |
Identify GPAI‑specific risks, draft model‑card style disclosures and vendor controls, and plan monitoring for emergent behaviour. |
N/A |
Practical application and resources
Each learner receives:
- Certificate of completion
- Hands-on practical knowledge curated by industry practitioners
Learning design & delivery
- Format: Fully online, self‑paced modules with video lessons (5–12 mins each), interleaved readings and scenario exercises.
- Assessment: Final multiple‑choice quiz and a small practical submission to demonstrate applied learning.
- Time commitment: Approx. 6 hours total (modules + assessment); learners may complete at their own pace within the portal’s access window.
- Support: In‑platform Q&A forum moderated by the course tutors and periodic live Q&A office hours (optional).
Learning outcomes — what you will be able to do after this course
- Explain the EU AI Act’s structure, its risk‑based approach and who it applies to.
- Identify when an AI system may be ‘high‑risk’ and list the documentation and conformity requirements that follow.
- Draft key governance artefacts: a model inventory entry, a high‑risk checklist, a transparency notice and a simple human oversight plan.
- Incorporate practical procurement and vendor‑due‑diligence steps to reduce supply‑chain risk.
- Design a first‑stage roadmap to embed AI compliance within an organisation and prioritise remediation actions.
Other online training benefits
- Scalable learning: Train multiple staff across roles with consistent content.
- Trackable outcomes: Learning analytics and completion reporting for HR and compliance records.
- Continuous updates: Course content can be updated to reflect legislative and guidance changes.
- Lower cost per learner than multiple face‑to‑face sessions while retaining practical templates and assessments.
- Cost-effective: Lower cost per learner than multiple face‑to‑face sessions while retaining practical templates and assessments.
